GenAI Engineer

Job not on LinkedIn

November 3

🇨🇷 Costa Rica – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Logo of FusionHit

FusionHit

B2B • Software • SaaS

FusionHit is a trusted Nearshore Agile Development partner with locations in New York and San Jose, Costa Rica. The company specializes in delivering high-quality software solutions through collaborative Agile development teams. Their services include mobile app development, UI/UX design, product development, software testing, blockchain development, and Robotic Process Automation, focusing on innovative technologies and agile processes to ensure a positive digital experience for their clients.

51 - 200 employees

Founded 2010

🤝 B2B

☁️ SaaS

📋 Description

• Architect and scale production-grade LLM systems with a focus on reliability, latency, and predictability. • Design and implement LLM orchestration systems, including plugin APIs and agent workflows. • Optimize and support multi-modal GenAI components such as voice, NLP, and visual modules. • Manage cloud infrastructure on AWS (SageMaker, Lambda, EKS/ECS, DynamoDB). • Monitor and ensure LLM service performance using observability and monitoring tools. • Translate R&D models into robust, enterprise-ready AI products. • Contribute to platform architecture and roadmap planning. • Mentor team members and promote a collaborative engineering culture.

🎯 Requirements

• BS/MS in Computer Science, Information Technology, or related field with 5+ years of experience in software engineering. • 2+ years focused specifically on LLM/GenAI system development and deployment. • Proven experience scaling LLMs from R&D into production with strong attention to reliability and performance. • Deep understanding of prompt engineering, plugin orchestration, and agent-based frameworks. • Proficiency with AWS infrastructure—SageMaker, Lambda, EKS/ECS, DynamoDB. • Experience with orchestration and deployment tools like LangChain, Ray, or similar LLMOps frameworks. • Familiarity with real-time multi-modal systems involving speech, vision, or avatar interfaces. • Systems-thinking mindset with a strong commitment to maintainability and observability. • Excellent communication skills in English (C1 preferred, strong B2 may be considered).

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